{"id":"W2014385283","doi":"10.1007/s00226-010-0317-7","title":"Etching of wood surfaces by glow discharge plasma","year":2010,"lang":"en","type":"article","venue":"Wood Science and Technology","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Resources Canada; University of British Columbia; Australian National University","keywords":"Middle lamella; Etching (microfabrication); Plasma etching; Materials science; Composite material; Plasma; Confocal; Lamella (surface anatomy); Cell wall; Layer (electronics); Chemistry; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008553086,0.000105218,0.0001718632,0.0002088458,0.0003048879,0.00006467017,0.0006286452,0.0001345149,0.000156259],"category_scores_gemma":[0.0004220398,0.0000851698,0.00001443486,0.0008237298,0.001896859,0.0003025529,0.0001797747,0.000204314,0.00005046311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001109034,"about_ca_system_score_gemma":0.0001216695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005957673,"about_ca_topic_score_gemma":0.0000528572,"domain_scores_codex":[0.9987289,0.00001495634,0.0001986266,0.0004064666,0.0003231924,0.0003278769],"domain_scores_gemma":[0.9992581,0.00004837197,0.000083896,0.0003826778,0.0001463505,0.00008058351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002504732,0.00004062246,0.001841345,0.000004022816,8.398764e-7,4.405962e-7,0.0001589871,8.500421e-7,0.990365,0.006072911,0.0001331607,0.001379334],"study_design_scores_gemma":[0.0001445185,0.00004875218,0.0003582839,0.000005488951,0.000002859698,0.00001257815,0.0003803172,0.0007658029,0.9956996,0.0009197438,0.00155303,0.0001090644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963888,0.00006666097,0.00004752996,0.002077381,0.000326449,0.0001046628,0.0000194204,0.0001318047,0.0008373181],"genre_scores_gemma":[0.9981696,0.00001524843,0.001660757,0.00004290641,0.000006795159,0.000007423758,6.945119e-7,0.000005244816,0.00009131922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005334579,"threshold_uncertainty_score":0.6989054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008100728180101971,"score_gpt":0.2361608702258921,"score_spread":0.2280601420457901,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}